Danilo Ferreira
Principal Software Engineer at Dell Technologies
Minas Gerais, Brazil
Summary
👤
Senior🎓
Top SchoolDanilo Ferreira is a Principal Software Engineer with nine years of experience building scalable AI/ML platforms and backend systems, currently leading inference, evaluation, and workspace initiatives at Dell Technologies. He combines functional, generic, and object-oriented design with deep expertise in computer graphics, vision, physics-based simulation, and compiler concepts to solve complex engineering problems and empower researchers and artists. Danilo has a strong track record deploying production ML infrastructure—optimizing LLM inference (2x throughput), building MLflowHub, and integrating Triton/KServe—while delivering reproducible tooling for prompt engineering and RAG evaluation. An active open-source contributor, he has improved JupyterHub’s backend to better support multi-user notebook environments. Based in Minas Gerais, Brazil, he brings a pragmatic research mindset shaped by academic work in FEM and rendering and a habit of sourcing creative solutions from nature, UX, papers, and arbitrary libraries.
9 years of coding experience
4 years of employment as a software developer
3D Generalist, 3D Generalist at Personal DevelopmentUndergraduate Thesis on Bachelor of Science (BS) Electrical Engineering and Computer Science, Undergraduate Thesis on Bachelor of Science (BS) Electrical Engineering and Computer Science at Instituto Nacional de Telecomunicações - Inatel
English, Portuguese
Github Skills (14)
backend10
jupyterhub10
pytest10
python10
back-end-development10
testing10
configuration-management9
prometheus8
api8
apidoc8
githubaction-workflow7
dockers7
docker7
github-ci7
Programming languages (13)
Github contributions (5)
jupyterhub/jupyterhub
Sep 2022 - Sep 2022
Multi-user server for Jupyter notebooks
Role in this project:
Backend Developer
Backend DeveloperContributions:3 reviews, 1 commit, 2 PRs in 1 day
Contributions summary:Danilo primarily focused on enhancing the JupyterHub backend functionality. Their contributions included implementing named server limits, adding an environment variable for metrics, and refactoring code for clarity and maintainability. These changes involved modifying the JupyterHub application, handling user authentication, and integrating with the proxy server to manage user environments. The user also addressed minor issues like typos and upgraded dependencies.
pythonjupyter-notebooknotebooksjupytermulti-user
danilopeixoto/mlflow
Jul 2024 - Feb 2025
Open source platform for the machine learning lifecycle
Contributions:29 pushes, 3 branches in 6 months
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